Summary
Luigi Ferrettino is an AI & Data Architect with eight years of experience designing cloud-native data platforms and AI solutions, currently focused on Azure Data & AI services, GenAI, and machine learning integration. He combines a strong embedded and automotive background—authoring a monocular camera autocalibration thesis at Luxoft—with hands-on cloud and IoT engineering across Cluster Reply roles from Data Engineer to Technical Lead. Trained in both low-level digital design (VHDL, Synopsys/TCL flows) and high-level software (C/C++, Python, Swift, Kotlin, SQL), he bridges hardware-aware thinking with scalable cloud architectures. Luigi has a track record of driving delivery and team coordination from junior enterprise leadership to project management in JE Italy, reflecting a teamwork-first mindset. He is completing a postgraduate master in AI & Cloud and maintains an active GitHub portfolio (github.com/nopesir) showcasing practical Cloud/ML projects. Colleagues value him for turning complex data and edge scenarios into automated, governable solutions that align with business impact.
8 years of coding experience
12 years of employment as a software developer
Bachelor's degree Ingegneria informatica, Bachelor's degree Ingegneria informatica at Università degli Studi di Salerno
High School Diploma Scientific, High School Diploma Scientific at Liceo Scientifico
2nd level Specializing Master Artificial Intelligence & Cloud: Hands-on innovation, 2nd level Specializing Master Artificial Intelligence & Cloud: Hands-on innovation at Politecnico di Torino
Portuguese, Spanish, Italian, English, French